A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-ENTRUP

Shaping the digital call –
Platform Industrie 4.0
Foundation Fernando Henrique Cardoso
October 18th, 2018
siemens.com/innovationUnestricted © Siemens AG 2018

Unrestricted © Siemens AG 2018
June 2018Page 2 Corporate Technology
What is happening in the B2B environment and how does
this help to create new business opportunities?
Digitalization, sensors,
connectivity, bandwidth,
computing power, data
capturing and storage,
clouds, analytics,
artificial intelligence …
New Business Models,
ecosystem concept and
Paradigm shift: From
product-focused to
user-centric mindset …
Technology
Business
1
2
Degree of maturity of
digital business models
Energy
Industries
Mobility
Trade
Media
Less complex industry More complex industry
Tipping-Point!
Source: Based on “Smart Service Welt” report/Accenture visualization

Industrie 4.0 – a huge opportunity for Germany and the world
Germany: Potential of Industrie 4.0 until 2025, in billion EUR
15%
85%
6 focus industriesGross value-
added 2013
40.1 €
40.3 €
74.0 €
76.8 €
18.6 €
93.7 €
2,326.6 € 343.3 €
~15%
~30%
~20%
~30%
~30%
~15%
Chemical
Automotive
Machine Building
Electrical Equipment
Agriculture
I&C Technologies
~80b EUR for
focus industries
~250b EUR for
entire economy
Potential until 2025
Source: Industrie 4.0 – Volkswirtschaftliche Potenziale für Deutschland (Fraunhofer IAO / Bitkom 2014)

Industrie 4.0 / Digitalization – significant impact on job market
45%
19%
33%
46%
Helping
Professions
Skilled
Employees
Specialists Experts
Share of jobs that can be automated
Risk
Labor force
New job profiles
Chance
Influencers
Internet
censors
Labeling for
machine learning
(based on analysis of 3,900 job profiles across entire
job market)
Source: IAB-Kurzbericht 24/2015: Folgen der Digitalisierung für die Arbeitswelt: „In kaum einem Beruf ist der
Mensch vollständig ersetzbar“ (K. Dengler/ B.Matthes)

Connectivity
Example: Railways
DataCaptureUnit(DCU) Communicationmoduleofpowersupply
controllers
TelematicBoxforCargo RDABox
Challenge
• Railway networks – the most
heterogeneous and distributed
networks in the world
• Locally produced data (e.g. in
interlockings) not available for data
analytics
Solution
• Develop devices to connect new and
legacy equipment
• Pre-equip new interlockings with
connectivity
Outcome
• Several data-based applications in
co-creation with customers

Challenge
• 26 high-speed trains at Renfe Spanish Rail Company
(Madrid-Barcelona-Malaga)
• Performance contract with availability guarantee
• Passengers are reimbursed for delays >15 min
Solution
• Analytics on sensor data of critical components for
predictive maintenance
Outcome
• On-time rate of 99.9%
• Due to high reliability 60% passengers switched from
aircraft to train
“Big data” / Data Analytics
Example: Availability guarantee for train service

Artificial intelligence
Example: NOx reduction in gas turbines
exp 1
on off
Simulation Results, base
load, prior to the active test
time
NOx[ppm]
with Autononomous Learning
Actual Value
without Autonomous Learning
15-20% additional
NOx reduction

Autonomous behavior
Example: Assembly without detailed engineering
1. Download of product
models from PLM
tools to autonomous
system
2. Knowledge graph is
generated from PLM
data by encoding
implicit knowledge
3. Zero-programming:
action and motion
planning using a
cognitive system
4. Machines use sensors
to react to changes
5. Machines cooperate
to achieve a common
goal

Digital twin (I)
Example: Design and manufacturing of products
Product
design

Digital twin (II)
Product
design

Digital twin (III)
Production
planning

Digital twin (IV)
Production
planning

Digital twin (V)
Automated Engineering:
PLC code generation
for TIA Portal
Production
engineerin
g
Digital Twin of
SIMATIC S7-1500

Digital twin (IV)
Production
execution

Digital twin (VI)
Service

Industrie 4.0 – Vision
Market
Dynamic requirements
Design
Holistic modeling
Engineering
Autonomous components Start-up
Self-configuration
Market
Satisfied customers
Production
Self-optimization
Self-healing
Information
Up-to-date

“Industrie 4.0” “Smart Service World”
Umsetzungsforum Industrie 4.0, Berlin, October, 2012,
Plattform Industrie 4.0, HMI April 2015
CeBIT, April, 2015
Hannover April 2017
Smart Factory:
Manufacturing sites in
Germany need to
embrace a new era of
novel technical
processes and related
business processes,
driven by advances in
information and
communication
technologies
Secure cloud
infrastructures and
provisioning of new
service platforms as the
basis for an industrial
internet economy
Platform I4.0 was born out of strategy projects by Acatech,
the National Academy of Science and Engineering

Technical
publications and
discourse
… for sciences,
economy, politics
…for multipliers and
companies
SME
guidance
…for and with
initiatives abroad
International
exchange
Platform Industrie 4.0 unites all stakeholders to create and bundle
know-how, and make it available to the public
• Focus on the needs of businesses and of end users
• Develop a common language, objective and key messages
• Ensure acceptance through high transparency and participation
• Create a central point of contact (for international alliances)
Platform Industrie 4.0: catalyst
for the exchange amongst all
societal actors in the pre-
competitive domain
Source: Platform Industrie 4.0

Governance and project office
• First point of contact for all enquiries
• Responsible for all organizational
matters regarding the Platform, as
well as for project management
• Manages the internal and external
communication of the Platform
• In charge of coordinating the network
– especially of the committees and
working groups

Working Groups
Legal Framework
Security of
networked
systems
Work, education
and training
Reference
architectures,
standards and
norms
Technology and
Application
Scenarios
Digital business
models for
Industrie 4.0
• Work forums with representatives from
businesses, works councils and trade
unions
• Participation is open for all interested
parties
• Criteria for the participation: (i) proven
subject-specific expertise (ii) mandate
from represented organization, (iii)
willingness to act as regional multiplier

Working Group “Reference Architectures, Standards and Norms”
• Industrie 4.0 needs a „lingua
franca“, to guarantee
interoperability between various
digital ecosystems.
• Standardization thus plays an
important role and should be
prioritized.
• RAMI 4.0 defines an important
reference point when developing
new standards
• Use cases in test beds promote
interoperability, the aggregated
results support further
standardization processes.

Working Group “Technology and Application Scenarios”
• Technologies progress, new
trends arise and existing topics
change; these changes need a
constant monitoring and
evaluation.
• Technology and application
scenarios make new topics
tangible
• Exploring new subjects through
dialogue with external
communities and evaluating the
relevance of those subjects are
the basis for developing the
Platform I40 agenda
OCP = Order-controlled production
SP2 = Smart product development for smart production
SAL = Self-organized adaptive logistics
VBS = Value-based services
TAP = Transparency & Adaptability of delivered products
AF = Adaptable factory
OSP = Operator support in production
IDP = Innovative product development
CRE = Circular Economy

Working Group “Security of Networked Systems”
• Security is as an „enabler“ for a
digitized production within value
creation networks.
• Companies need to know their
weak points, evaluate their
security demands and invest in
necessary measures for a
secure production system
• To ensure a global inter-
connectedness, international
standards which consider
security requirements need to
be established

Working Group “Legal Framework”
• What changes have to be made
to adapt today‘s legal framework
to the conditions of the digitized
manufacturing world?
• Civil law and legal procedure
• IT and data protection law
• Product liability
• IP law and data ownership
• Labor law

Working Group “Work, education and training”
Source: Platform Industrie 4.0, Project “Arbeit 2020” (Work 2020), IG Metall North
• Qualification, education and
training, and competence
development need to adapt to
changing requirements.
• Enriching the dual education
system with new offers for (re-)
qualification is a key success
factor.
• Life-long learning needs to be
promoted, e.g. with workspace-
integrated, flexible learning
environments.
• SMEs need special assistance.
Company Map: Industrie 4.0 vs. Work 4.0

Working Group “Digital business models for Industrie 4.0”
Source: Platform Industrie 4.0, Project “Arbeit 2020” (Work 2020), IG Metall North
• The availability of data and the
emergence of a platform
economy change traditional
value-adding networks
• New business models arise and
existing ones are altered. These
developments may transform
companies and change the
economy as a whole
• From fundamental digital
business models for Industrie
4.0, a supporting (e.g.
regulatory) framework needs to
be derived
MindSphere1)
New business
models?!
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Free access to data?
Data Ownership?
Personal vs.
non-personal data?
Pricing of data?
Avoiding
data monopolies?
Data portability
Interoperability
between platforms?
1) Siemens’ IoT operating system

Platform I4.0: Strong stakeholder support
Example: Support by ZVEI Industry association

Offers for information and support
~350 documented examples of
Industrie 4.0 applications
Online Map
117 publications, mainly from the
six working groups
Library
Supporting SMEs to find tailor-
made support for Industrie 4.0
I4.0 Compass

Online library
• Introduction to
Industrie 4.0
• Documentation of
outcomes of the
platform and its
partners
• Currently 117 hand-
books, publications
and guidelines
• Expert knowledge,
presented in an easy
and accessible
manner
Link: https://www.plattform-i40.de/I40/Navigation/EN/InPractice/Online-Library/online-library.html

Map of Industrie 4.0 Use Cases
~350 examples of how to apply Industrie 4.0 concepts
28%
29%
15%
28%
< 250
employees
250-5,000
employees
5,000-15,000
employees
>15,000
employees
Contributing
companies
Link: https://www.plattform-i40.de/I40/Navigation/EN/InPractice/Map/map.html

I4.0 compass supports SMEs in driving digitalization
Tours to demonstration
plants and test labs
Workshops and Trainings
Access to real-life examples
Readiness checks
Access to consulting & support
Engagement in networks
Engagement in government-
funded pre-competitive R&D
Engagement in I4.0
Standardization
Engagement in projects
in test labs
Consulting and support
Publication and
Videos about I4.0

The platform as international hub
3

Triad of platform, lab network and standardization council
Shaping the digital transformation together
Digital
Transformation
 Strategy and recommendations for action
 SME mobilization
 International cooperation
 Network of test centres
 Practical testing
 Validated backflow for norming
 Initiating of cross-sector standards
 Coordination of standards
 Strengthening of international
cooperation in Germany

More than 50 collaborations with test labs in Germany

• Digital supply chain and knowledge exchange across
Germany, Switzerland and Austria
• Simulated I4.0 production process
• Smart actuator, sensor technology and big data
Lab Network Industrie 4.0
Example: I4PRODUCTION, a connected model factory

Standardization Council Industrie 4.0
Shaping Industrie 4.0-Standards
36
 Initiate and develop standards for
digital production.
 Coordinate standardization
activities nationally and
internationally.
 Close cooperation with the
working group 1 of the Plattform
Industrie 4.0.

A Indústria 4.0 na Alemanha: há lições úteis para o Brasil? - NORBERT LÜTKE-ENTRUP

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